Main
Anna Varzina
PhD candidate in mathematics and civil engineering. Mathematical modelling and data science enthusiast. Interested in challenging projects related to data processing, visualisation, analysis, modelling, machine learning, statistics and software engineering.
Education
PhD Candidate, Engineering Science
KU Leuven
Leuven, Belgium
2020 - 2016
- Thesis “Accerated carbonation in unsaturated fractured cement pastes”
- Building Materials and Building Technology Division
Master’s Degree in Applied and Computational Mathematics
University of Bergen
Bergen, Norway
2016 - 2014
- Thesis: Heat transfer upscaling in geothermal reservoirs.
- Porous Media Group
Specialist’s (Bachelor’s ) Degree in Applied Mathematics and Informatics
Saratov State University
Saratov, Russia
2013 - 2008
- Thesis: Wavelet analysis in forecasting of financial time series.
- Functions and Approximations Theory Division
English language translator in the professional communication area
Saratov State University
Saratov, Russia
2013 - 2008
- Additional qualification
Research Experience
PhD researcher
SCK CEN
Mol, Belgium
2020 - 2016
- Research project “Accelerated carbonation in unsaturated fractured cement pastes”.
- Combination of experimental and numerical modelling of carbonation in hardened cement pastes.
- CFD numerical model development as a module in Python-based lattice Boltzmann solver. Combining solute and reactive transport in a porous medium with PHREEQC geochemistry.
- Data collecting, processing (R tidyverse), visualization (R ggplot, pyplot), modelling (scikit-learn, modelr, caret) and analysis. Image and time series analysis.
- Scientific presentations and posters in Power Point and R markdown.
Industry Experience
Software Engineering Intern
EPAM Systems
Saratov, Russia
2016
- Internship in Java software development. Hands on Git, SQL, XML, JavaScript, OOP, Design Patterns.
Intern
RosBank
Saratov, Russia
2012
- Summer internship.
- Bank documentation and software.
Technical Courses and Tutorials
Getting Started with Google Kubernetes Engine
Coursera
N/A
2020
Machine learning
Coursera
N/A
2020
- Machine learning fundamentals teached by Dr. Andrew Ng
Modern R for data science
SCK CEN
N/A
2019
- R tidyverse concept: data wrangling, tidy data, visualization, communication.
High Performance Python
KULeuven
N/A
2017
- Pythonic code optimization (profiling, numpy, cython, ctypes, f2py, etc.)
Introduction to R
SCK CEN
N/A
2017
- Base introductuon to R language and standard libraries (statistics, graphs, modelling)
R programming
Coursera
N/A
2017
- R for effective data analysis
Personal Skills Courses
Presentation and seminar skills
KULeuven
N/A
2019
- Practical course about giving successuful presentations and teaching.
Project and self-management
KULeuven
N/A
2016
- Course covers various management tools that can be useful in PhD.
Learning How to Learn
Coursera
N/A
2016
- Efficient learning techniques from Dr. Barbara Oakley
Scientific Publications
A new concept for pore-scale precipitation-dissolution modelling in a lattice Boltzmann framework - Application to carbonation of portlandite
Applied Geochemistry
N/A
2020
- Authored with Ozlem Cizer, Li Yu, Sanheng Liu, Diederik Jacques, Janez Perko
Carbonation of fractured cement pate - synergistic effects of w/c ratio, relative humidity and CO2 concentration on microstructural and mineralogical alteration
Under review
N/A
2020
- Authored with Quoc Tri Phung, Janez Perko, Diederik Jaques, Ozlem Cizer
Long-term performance of cementitious materials used in nuclear waste disposal
Sixth International Symposium on Life-Cycle Engineering
N/A
2018
- Authored with Quoc Tri Phung, Suresh Seetharam, Timo Seeman, Gabriel Hoder, Laurent Lemmens, Ravi A. Patel, Sanheng Liu, Janez Perko, Norbert Maes, Diederik Jacques, Elie Valcke.
Modelling carbonation reaction on rough cement surface
Concrete Modelling (ConMod) Symposium
N/A
2018
- Authored with Janez Perko, Diederik Jacques, Quoc Tri Phung, Norbert Maes and Ozlem Cizer
Characterization of changes in crack features and geometry in hardened cement pastes.
2nd International RILEM/COST Conference on Early Age Cracking and Serviceability in Cement-based Materials and Structures
N/A
2017
- Authored with Quoc Tri Phung, Bart Rogiers, Janez Perko, Diederik Jacques, Norbert Maes and Ozlem Cizer.
About me
“PhD candidate in mathematics and civil engineering. I am interested in different projects related to data processing, visualization, analysis, mathematical modelling, machine learning, statistics and software engineering. I am inspired by science, data, visualization, design, art and statistics. I am driven by creativity, arrangement, beauty and balance. I am eager to learn and master new skills. In my opinion, everyone should master as many skills as possible and continuously extend their expertise. Therefore, in my daily life I have a huge variety of interests and hobbies including reading, photography, sports and even handcrafting. That is why I never get bored. Moreover, such variety of interests and knowledge makes me a perfect candidate in the professions where a broad expertise is required.
Data science and machine learning fascinates me from the point of its possibilities and applications. I find data beautiful and believe that simplicity is a solution to most of the problems. My curernt experience with data includes data processing, visualization and modelling with Python and R libraries, plus hands on with with Docker, Kubernetes, Google Cloud and various machine learning algorithms. During my work in academy I have been able to solve tasks of different difficulty level. My learning path started in the field of applied mathematics and computing and continued through porous media numerical modelling up to the study of chemical processes in cements from both experimental and modelling point of view. At the moment I am open for positions in various fields. Also I am looking forward for work in a team, share my knowledge and learn from others. I would be glad to be helpful and contributive.”